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Multi-Thread Analysis, Understand the "Why"

Multi-Thread Analysis, Understand the "Why"

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Multi-Thread Analysis, Understand the "Why"

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A New Way to Ask “Why” in Lumi

Lumi now introduces a clearer path from a vague question to a direct answer. Teams often want to understand the root cause of an issue but don’t have the time to dig through queries or run long investigations. This update helps them reach the source of an issue by simply asking why.

With Lumi’s agentic workflows, a single question turns into a structured breakdown of causes, sub-questions, and supporting evidence. The goal is to make root-cause work feel as straightforward as asking a follow-up.

What’s New

  • Question Breakdown: Lumi breaks vauge question into multiple sub threads. Each thread is tied to different aspects of the question, giving teams a clear track to follow.
  • Parallel Factor Review: Lumi checks multiple factors at the same time. This helps teams skip the back-and-forth of writing extra queries.
  • Digestible Summaries: Once the analysis runs, Lumi sends back a clear summary. Teams get right to the insights, and skip reviewing long reports.
  • Unplanned Insights: While working through the question, Lumi flags other patterns worth attention. These may point to new savings, performance gaps, or operational issues.

A More Direct Path to Root Cause

This update helps teams get past the back-and-forth of manual analytics. A broad question like “Why did on-time delivery drop?” turns into a guided breakdown that checks volume changes, supplier shifts, inventory patterns, and more. Each branch of reasoning is available for review, making it easier to validate the steps that led to the final answer.

Built for What’s Ahead

These workflows support upcoming improvements in proactive insights, deep investigations, and automated reporting. They set the foundation for faster reviews and tighter operational feedback loops across the organization.

Lumi continues to help teams surface value in their operational data without writing code. This feature brings a more direct way to understand what happened and why.

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2025-11-20
2025-11-24